Proportion of L3 recovered from forages. by Katy A. Martin (9216905)

Heterogeneity test. by Pengyu Yang (2668450)

“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”

The robustness test. by Pengyu Yang (2668450)

“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”

Mechanistic testing. by Pengyu Yang (2668450)

“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”

Distribution of total <i>T. colubriformis</i> recovered after 48 hours, stratified by height zone. by Katy A. Martin (9216905)

Y-27632 synergized with BA to alleviate the decrease in the expression of and abnormal localization of ZO-1 and Occludin in LPS-induced Caco2 cells. by Luqiong Liu (11537092)

Autocorrelation test results. by Ozlem Kutlu Furtuna (20308206)

“…The results of the panel data analysis show a U-shaped relationship between FDI and carbon emissions which means carbon emissions decrease to a certain level with increasing FDI investment and after this level, increasing FDI increases the environmental degradation in terms of carbon emissions. …”

Values of critical shape factor (<i>β</i>′) for different allowable relative deviations (<i>w</i>₂, in %). by Hong Zhang (25820)

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Soft phyllite specimens at different degrees of weathering: (a) strongly weathered; (b) weakly weathered; (c) slightly weathered. by Hong Zhang (25820)

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Schematic of the actual failure cross-sectional area. by Hong Zhang (25820)

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Schematic for measuring <i>D</i> and <i>D</i>′ values. by Hong Zhang (25820)

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Specimen <i>D</i> ranges at different allowable relative deviations (<i>w</i>₂, in %). by Hong Zhang (25820)

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Histogram of the area factorψ. by Hong Zhang (25820)

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Statistical results for <i>I</i>_s, Δ<i>D</i>, and <i>α</i> after outlier removal. by Hong Zhang (25820)

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Point load strength apparatus: (a) before modification; (b) after modification. by Hong Zhang (25820)

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Schematic of calculation for the point load strength. by Hong Zhang (25820)

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Relationship between <i>D</i> on <i>I</i>_s at different weathering levels (R²: 0.82, 0.89, 0.93 for highly, moderately, and slightly). by Hong Zhang (25820)

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Statistical parameters from three calculation methods. by Hong Zhang (25820)

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Histograms of <i>I</i>_s and Δ<i>D.</i> by Hong Zhang (25820)

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Relationship between <i>I</i>_s and <i>β</i> at different weathering levels (R²: 0.88, 0.83, 0.91 for highly, moderately, and slightly). by Hong Zhang (25820)

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